公开(公告)号：US09122739B1

公开(公告)日：2015-09-01

申请号：US13016889

申请日：2011-01-28

Applicant: Neeraja Yadwadkar ,  Sai Rama Krishna Susarla ,  Kaladhar Voruganti ,  Rukma Ameet Talwadker ,  Vipul Mathur

Inventor： Neeraja Yadwadkar ,  Sai Rama Krishna Susarla ,  Kaladhar Voruganti ,  Rukma Ameet Talwadker ,  Vipul Mathur

IPC: G06F17/30

CPC classification number: G06F17/30587 ,  G06F17/30289 ,  G06F17/30294

Abstract: Described herein is a system and method for dynamically managing service-level objectives (SLOs) for workloads of a cluster storage system. Proposed states/solutions of the cluster may be produced and evaluated to select one that achieves the SLOs for each workload. A planner engine may produce a state tree comprising nodes, each node representing a proposed state/solution. New nodes may be added to the state tree based on new solution types that are permitted, or nodes may be removed based on a received time constraint for executing a proposed solution or a client certification of a solution. The planner engine may call an evaluation engine to evaluate proposed states, the evaluation engine using an evaluation function that considers SLO, cost, and optimization goal characteristics to produce a single evaluation value for each proposed state. The planner engine may call a modeler engine that is trained using machine learning techniques.

Abstract translation: 这里描述了用于动态管理用于集群存储系统的工作负载的服务级目标（SLO）的系统和方法。 可以生成和评估集群的建议状态/解决方案，以选择为每个工作负载实现SLO的状态/解决方案。 计划器引擎可以产生包括节点的状态树，每个节点表示提出的状态/解。 可以基于允许的新解决方案类型将新节点添加到状态树，或者可以基于接收到的时间约束来移除节点，以执行解决方案或解决方案的客户端认证。 计划器引擎可以调用评估引擎来评估提出的状态，评估引擎使用考虑SLO，成本和优化目标特征的评估函数，以产生每个建议状态的单个评估值。 计划器引擎可以调用使用机器学习技术训练的建模者引擎。

公开(公告)号：US08898289B1

公开(公告)日：2014-11-25

申请号：US13069301

申请日：2011-03-22

Applicant: Gokul Soundararajan ,  Kaladhar Voruganti ,  Lakshmi Narayanan Bairavasundaram ,  Vipul Mathur

Inventor： Gokul Soundararajan ,  Kaladhar Voruganti ,  Lakshmi Narayanan Bairavasundaram ,  Vipul Mathur

IPC: G06F15/173 ,  G06F13/00

CPC classification number: G06F11/1088 ,  G06F11/3006 ,  G06F11/3034 ,  G06F11/3055 ,  G06F11/3072 ,  G06F2201/86

Abstract: Method and system for distributing a notification of an event occurring at a one entity to an affected entity. In one embodiment, entities are grouped into one or more groups so that an event occurring at one entity of the group is distributed to the other entities of the group (“affected entities”). If an event occurs at an entity managed by a local entity manager, a notification of the event can be routed to a remote entity manager that manages an affected entity. The local entity manager can use a distributed mapping to determine where to route the event notification. In one embodiment the mapping associates an entity to an entity manager.

Abstract translation: 将在一个实体发生的事件的通知分发给受影响的实体的方法和系统。 在一个实施例中，实体被分组成一个或多个组，使得在该组的一个实体处发生的事件被分发给该组的其他实体（“受影响的实体”）。 如果事件发生在由本地实体管理器管理的实体上，则该事件的通知可以路由到管理受影响实体的远程实体管理器。 本地实体管理器可以使用分布式映射来确定路由事件通知的位置。 在一个实施例中，映射将实体与实体管理器相关联。

公开(公告)号：US08595346B2

公开(公告)日：2013-11-26

申请号：US13251083

申请日：2011-09-30

Applicant: Lakshmi Narayanan Bairavasundaram ,  Gokul Soundararajan ,  Vipul Mathur ,  Kaladhar Voruganti ,  Darren Sawyer

Inventor： Lakshmi Narayanan Bairavasundaram ,  Gokul Soundararajan ,  Vipul Mathur ,  Kaladhar Voruganti ,  Darren Sawyer

IPC: G06F15/173

CPC classification number: H04L67/1023 ,  G06F3/0605 ,  G06F3/0683 ,  G06F9/5011 ,  G06F11/2094 ,  G06F11/3409 ,  G06F11/3442 ,  G06F11/3495 ,  G06F2201/81 ,  H04L41/5009 ,  H04L49/505 ,  H04L67/1097 ,  H04L69/40 ,  H04L2012/5631 ,  H04L2012/5636

Abstract: Collaborative management of shared resources is implemented by a storage server receiving, from a first resource manager, notification of a violation for a service provided by the storage server or device coupled to the storage server. The storage server further receives, from each of a plurality of resource managers, an estimated cost of taking a corrective action to mitigate the violation and selects a corrective action proposed by one of the plurality of resource managers based upon the estimated cost. The storage server directs the resource manager that proposed the selected corrective action to perform the selected corrective action.

Abstract translation: 共享资源的协同管理由存储服务器实现，存储服务器从第一资源管理器接收由与存储服务器耦合的存储服务器或设备提供的服务的违规的通知。 存储服务器还从多个资源管理器中的每一个进一步接收采取纠正措施以减轻违规的估计成本，并且基于估计的成本选择由多个资源管理者之一提出的纠正措施。 存储服务器指示提出所选修正操作的资源管理器执行所选的纠正措施。

公开(公告)号：US08484249B1

公开(公告)日：2013-07-09

申请号：US13235043

申请日：2011-09-16

Applicant: Gokul Soundararajan ,  Lakshmi Narayanan Bairavasundaram ,  Vipul Mathur ,  Rukma Ameet Talwadker ,  Kaladhar Voruganti

Inventor： Gokul Soundararajan ,  Lakshmi Narayanan Bairavasundaram ,  Vipul Mathur ,  Rukma Ameet Talwadker ,  Kaladhar Voruganti

IPC: G06F17/30

CPC classification number: G06F17/30312 ,  G06F8/10 ,  G06F9/00 ,  G06F17/30

Abstract: Graph transformations are used by a data management system to correct violations of service-level objectives (SLOs) in a data center. In one aspect, a process is provided to manage a data center by receiving an indication of a violation of a service-level objective associated with the data center from a server in the data center. A graph representation and a transformations data container are retrieved by the data management system from data storage accessible to the data management system. The transformations data container includes one or more transformations. The transformation is processed to create a mutated graph from a data center representation from the graph representation. An option for managing the data center is determined as a result of evaluating the mutated graphs.

Abstract translation: 数据管理系统使用图形转换来纠正数据中心中服务级目标（SLO）的违规。 在一个方面，提供了一种通过从数据中心中的服务器接收与数据中心相关联的服务级别目标的违规的指示来管理数据中心的过程。 数据管理系统从数据管理系统可访问的数据存储中检索图表表示和转换数据容器。 变换数据容器包括一个或多个变换。 处理变换以从图表表示从数据中心表示创建突变图。 通过评估突变图来确定用于管理数据中心的选项。

公开(公告)号：US09274838B2

公开(公告)日：2016-03-01

申请号：US13334689

申请日：2011-12-22

Applicant: Lakshmi Narayanan Bairavasundaram ,  Gokul Soundararajan ,  Vipul Mathur ,  Kaladhar Voruganti

Inventor： Lakshmi Narayanan Bairavasundaram ,  Gokul Soundararajan ,  Vipul Mathur ,  Kaladhar Voruganti

IPC: H04L12/751 ,  H04L12/803 ,  G06F9/50 ,  G06F12/08 ,  G06F11/07 ,  H04L12/24 ,  G06F11/34

CPC classification number: G06F9/45558 ,  G06F9/5016 ,  G06F9/5077 ,  G06F9/5083 ,  G06F11/073 ,  G06F11/3409 ,  G06F12/0806 ,  G06F2009/4557 ,  G06F2009/45583 ,  G06F2009/45595 ,  H04L41/0816 ,  H04L41/0896 ,  H04L67/2842

Abstract: It is detected that a metric associated with a first workload has breached a first threshold. It is determined that the first workload and a second workload access the same storage resources, wherein the storage resources are associated with a storage server. It is determined that the metric is impacted by the first workload and the second workload accessing the same storage resources. In response to a determination that the metric is impacted by the first workload and the second workload accessing the same storage resources, a first virtual cache appliance is instantiated and one of the first workload or the second workload is routed through the virtual cache appliance. Routing one of the first workload or the second workload through the first virtual cache appliance causes the first virtual cache appliance to cache data associated with the storage resources.

Abstract translation: 检测到与第一工作负荷相关联的度量已经违反了第一阈值。 确定第一工作负载和第二工作负载访问相同的存储资源，其中存储资源与存储服务器相关联。 确定该度量受到第一工作负载的影响，并且第二工作负载访问相同的存储资源。 响应于确定度量受到第一工作负载的影响并且访问相同存储资源的第二工作负载，第一虚拟高速缓存设备被实例化，并且第一工作负载或第二工作负载中的一个通过虚拟高速缓存设备被路由。 通过第一个虚拟缓存设备路由第一个工作负载或第二个工作负载之一，导致第一个虚拟缓存设备缓存与存储资源相关联的数据。

公开(公告)号：US08924658B1

公开(公告)日：2014-12-30

申请号：US13032409

申请日：2011-02-22

Applicant: Lakshmi Narayanan Bairavasundaram ,  Garth Goodson ,  Vipul Mathur ,  Shankar Pasupathy ,  Gokul Soundararajan ,  Kiran Srinivasan ,  Kaladhar Voruganti

Inventor： Lakshmi Narayanan Bairavasundaram ,  Garth Goodson ,  Vipul Mathur ,  Shankar Pasupathy ,  Gokul Soundararajan ,  Kiran Srinivasan ,  Kaladhar Voruganti

IPC: G06F12/00

CPC classification number: G06F3/067 ,  G06F3/0611 ,  G06F3/0653 ,  G06F9/45558 ,  G06F12/109 ,  G06F2009/45583 ,  G06F2009/45595 ,  H04L67/1097

Abstract: The techniques introduced here provide for efficient management of storage resources in a modern, dynamic data center through the use of virtual storage appliances. Virtual storage appliances perform storage operations and execute in or as a virtual machine on a hypervisor. A storage management system monitors a storage system to determine whether the storage system is satisfying a service level objective for an application. The storage management system then manages (e.g., instantiates, shuts down, or reconfigures) a virtual storage appliance on a physical server. The virtual storage appliance uses resources of the physical server to meet the storage related needs of the application that the storage system cannot provide. This automatic and dynamic management of virtual storage appliances by the storage management system allows storage systems to quickly react to changing storage needs of applications without requiring expensive excess storage capacity.

Abstract translation: 这里介绍的技术通过使用虚拟存储设备来提供现代动态数据中心中的存储资源的有效管理。 虚拟存储设备执行存储操作，并在虚拟机管理程序中或作为虚拟机执行。 存储管理系统监视存储系统以确定存储系统是否满足应用的服务级目标。 存储管理系统然后管理（例如，实例化，关闭或重新配置）物理服务器上的虚拟存储设备。 虚拟存储设备使用物理服务器的资源来满足存储系统无法提供的应用程序的存储相关需求。 存储管理系统对虚拟存储设备的自动和动态管理允许存储系统快速响应应用中不断变化的存储需求，而不需要昂贵的超额存储容量。

公开(公告)号：US08769202B1

公开(公告)日：2014-07-01

申请号：US13198495

申请日：2011-08-04

Applicant: Gokul Soundararajan ,  Lakshmi Narayanan Bairavasundaram ,  Vipul Mathur ,  Kaladhar Voruganti

Inventor： Gokul Soundararajan ,  Lakshmi Narayanan Bairavasundaram ,  Vipul Mathur ,  Kaladhar Voruganti

IPC: G06F12/00

CPC classification number: G06F12/0802 ,  G06F12/0888 ,  G06F2212/6042

Abstract: Embodiments of the systems and techniques described here can leverage several insights into the nature of workload access patterns and the working-set behavior to reduce the memory overheads. As a result, various embodiments make it feasible to maintain running estimates of a workload's cacheability in current storage systems with limited resources. For example, some embodiments provide for a method comprising estimating cacheability of a workload based on a first working-set size estimate generated from the workload over a first monitoring interval. Then, based on the cacheability of the workload, a workload cache size can be determined. A cache then can be dynamically allocated (e.g., change, possibly frequently, the cache allocation for the workload when the current allocation and the desired workload cache size differ), within a storage system for example, in accordance with the workload cache size.

Abstract translation: 这里描述的系统和技术的实施例可以利用对工作负载访问模式和工作集行为的性质的几个见解，以减少内存开销。 因此，各种实施例使得可以在有限的资源的当前存储系统中维持工作负载的高速缓存的运行估计。 例如，一些实施例提供了一种方法，其包括基于在第一监视间隔上从工作负载产生的第一工作集大小估计来估计工作负载的可缓存性。 然后，基于工作负载的可缓存性，可以确定工作负载高速缓存大小。 然后可以根据工作负载高速缓存大小来动态地分配高速缓存（例如，当当前分配和期望的工作负载高速缓存大小不同时，可以频繁地改变工作负载的高速缓存分配），例如在存储系统内。

公开(公告)号：US20130086324A1

公开(公告)日：2013-04-04

申请号：US13250911

申请日：2011-09-30

Applicant: GOKUL SOUNDARARAJAN ,  Kaladhar Voruganti ,  Lakshmi Narayanan Bairavasundaram ,  Priya Sehgal ,  Vipul Mathur

Inventor： GOKUL SOUNDARARAJAN ,  Kaladhar Voruganti ,  Lakshmi Narayanan Bairavasundaram ,  Priya Sehgal ,  Vipul Mathur

IPC: G06F12/08 ,  G06F12/02

CPC classification number: G06F12/0811 ,  G06F12/0813 ,  G06F12/0888 ,  G06F2212/2515 ,  G06F2212/284 ,  G06F2212/301 ,  G06F2212/601

Abstract: A change in workload characteristics detected at one tier of a multi-tiered cache is communicated to another tier of the multi-tiered cache. Multiple caching elements exist at different tiers, and at least one tier includes a cache element that is dynamically resizable. The communicated change in workload characteristics causes the receiving tier to adjust at least one aspect of cache performance in the multi-tiered cache. In one aspect, at least one dynamically resizable element in the multi-tiered cache is resized responsive to the change in workload characteristics.

Abstract translation: 在多层缓存的一层检测到的工作负载特性的改变被传送到多层高速缓存的另一层。 多个缓存元素存在于不同的层，并且至少一个层包括可动态调整大小的高速缓存元素。 所传达的工作负载特性的改变使得接收层在多层缓存中调整缓存性能的至少一个方面。 在一个方面，响应于工作负载特性的变化来调整多层缓存中的至少一个可动态调整大小的元素。